Paper
26 April 2011 Distortion-insensitive correlation constellation detection
Charles Casey, Laurence G. Hassebrook, Eli Crane, Aaron Davidson
Author Affiliations +
Abstract
There are applications that require detection of multiple features which remain consistent in shape locally, but may change position with respect to one another globally. We refer to these feature sets as multi-feature constellations. We introduce a multi-level correlation filter design which uses composite feature detection filters, which on one level detect local features, and then on the next level detect constellations of these local feature responses. We demonstrate the constellation filter method with sign language recognition and fingerprint matching.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Charles Casey, Laurence G. Hassebrook, Eli Crane, and Aaron Davidson "Distortion-insensitive correlation constellation detection", Proc. SPIE 8055, Optical Pattern Recognition XXII, 80550A (26 April 2011); https://doi.org/10.1117/12.881977
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KEYWORDS
Image processing

Image filtering

Composites

Sensors

Fingerprint recognition

Signal detection

Target detection

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